question

Hello @SudheerReddy,

to use Optquest you first have to add parameters and performance measures.

Parameters are the values that the optimizer will vary between runs to find the best solution. What the best solution is, is decided by the Performance Measures (pm). The goal can be to either maximize or minimize these (or any composition of multiple measures, for example the sum of two pms multiplied by a third). In your case this would be the average staytime of items in the queue which you can reference using the pipette tool.

In the attached model I also added a second pm: The deviation from the mid point of the time window. To achieve this I again reference the average staytime but add this line of code in front of the "return" command in the code editor.

value = Math.fabs(value - 7.5);

Instead of returning the raw value, this pm will show how far away from an average staytime of 7.5s the queue was during the run.

Next, I added a parameter controlling the "Max Content" of the processor to simulate multiple processors.

In the "Optimizer Design" tab I choose to minimize the "StayTimeDeviation" performance measure. Alternatively, you could, as you wrote, minimize the raw staytime and add a contraint to mark results outside of the time window as invalid.

When I now run the optimizer I get to the result, that a max. content of 5 is the only solution that keeps the staytime between 5 and 10 seconds.

Exported results ("Export as CSV"):

optquest_fm.fsm

I hope this helps you to get started with OptQuest. If you have further questions or issues feel free to comment or have a look at the manual.
https://docs.flexsim.com/en/21.2/Reference/Tools/ExperimenterOptimizer/